體驗區
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| 篇名 |
疫情期间大学生网络学习满意度模型建构与实证检验——基于上海市15所高校的调查
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| 並列篇名 |
Model Construction and Empirical Test of College Students’ Satisfaction with Online Learning During Epidemic Prevention and Control Period: Based on the Survey of 15 Universities in Shanghai
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| 作者 |
李莹莹(LI Yingying)
、张宏梅(ZHANG Hongmei)
、张海洲(ZHANG Haizhou)
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| 中文摘要 |
网络教学作为新型教学模式，具有传播范围广、信息更新迅速等优势。2020年新冠肺炎疫情的爆发导致高校无法按时开学，网络教学使“停课不停学”变为现实。而学生满意度是网络教学质量重要的评价标准，会对学习成效产生影响。本文基于顾客满意度理论、学习条件理论及教学系统要素理论，结合专家意见与高校网络教学实施情况，构建大学生网络学习满意度理论模型，编制调查问卷并在上海15所高校展开调研，基于SPSS24.0软件进行模型检验，综合探讨疫情期间大学生网络学习满意度及影响因素，针对不足提出对策。研究发现，大学生对网络学习的满意度总体较低。其中，网络教学质量、学生的任务价值感知、网络自我效能感、网络使用能力、学习动机、网络交互及其感知到的社会支持皆对满意度有显著预测作用。基于此，本文从教师教学及条件保障维度提出提升学生满意度的建议。
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| 英文摘要 |
As a new approach, online teaching has the advantages of widespread and rapid information update. In 2020, COVID-19 made it impossible to resume school, and the Internet-based teaching made it possible to “classes-suspended, but learning continue.” At the same time, student satisfaction has an impact on learning outcomes, while it is also a relevant standard to evaluate the quality of curriculum teaching. Based on customer satisfaction theory, learning condition theory and teaching system elements theory, by referring to expert opinion consultation and the actual situation of online teaching during the epidemic prevention and control period, this paper constructs a theoretical model of online course learning satisfaction analysis for college students, designs a questionnaire and conducts an empirical analysis on 15 college students in Shanghai. Based on the SPSS software model test, combined with the text analysis method, this paper comprehensively discusses the online learning satisfaction of college students during the “epidemic” period and the influencing factors, obtains the enlightenments of each variable on satisfaction, and puts forward the management countermeasures. It is found that students’ overall satisfaction of online learning is low, and the comprehensive quality of online teaching, the value perception and self-efficacy, network capability, learning motivation, network interaction, and social support of college students have significant predictive effects on satisfaction. Finally, this paper puts forward the countermeasures and suggestions to improve satisfaction from the dimensions of teachers and conditional supports.
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| 頁次 |
102-111
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| 關鍵詞 |
高校大学生
、网络学习满意度
、影响因素
、多元线性回归
、college students
、satisfaction with online learning
、affecting factors
、multiple linear regression analysis
、CSSCI
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| 卷期 |
26:4
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| 日期 |
202008
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| 刊名 |
開放教育研究
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| 出版單位 |
上海遠程教育集團、上海電視大學
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| DOI |
10.13966/j.cnki.kfjyyj.2020.04.012
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